yxuansu/SimCTG
[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation
This project helps generate high-quality, coherent text from an initial prompt across various languages. It takes a short text input and produces longer, human-like text outputs, such as stories or conversational responses. Content creators, marketers, educators, and anyone needing to generate diverse and fluent written content can use this.
475 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to generate creative, detailed, and coherent text quickly and efficiently from an initial idea or topic.
Not ideal if you require text generation with strict factual accuracy or if your task involves very short, highly structured outputs like data tables or code snippets.
Stars
475
Forks
40
Language
Python
License
MIT
Category
Last pushed
Mar 07, 2024
Commits (30d)
0
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